Staff Data Engineer

Role expectations:

• Responsible for designing, building, and optimizing scaled data infrastructure, serving as a technical lead and mentor within the organization.
• Directly collaborate with cross-functional stakeholders to effectively gather requirements and understand business needs in order to create durable pipelines, infrastructure, and ELT models that enable the company to ingest data in various formats and from various sources and then turn them into usable business facing data products.
• Align and coordinate your team's work against strategic business priorities and help define and manage the data roadmap.
• Drive operational excellence by ensuring data quality through automated testing and validation, robust pipeline monitoring and alerting, and establishing clear incident response practices when things break.
• Provide technical leadership through mentorship, architecture reviews, and maintaining high technical standards across the codebase.
• Own data architecture, infrastructure, and platform improvements. Drive systems improvements and upgrades with a long-term view.
• Use systems thinking to solve problems and add capabilities. Adopt tools, technologies, and patterns to provide leverage. Build a platform, don't just get tasks done.

The experience you bring to this role:

• 7+ years of data engineering experience, with deep expertise in technologies like Snowflake, DBT, Airflow, and Python. You've architected data systems for reliability and scale, not just built pipelines to spec.